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Returns the element-wise min of two SparseTensors.
tf.sparse.minimum( sp_a, sp_b, name=None )
Assumes the two SparseTensors have the same shape, i.e., no broadcasting. Example:
sp_zero = sparse_tensor.SparseTensor([[0]], [0], [7]) sp_one = sparse_tensor.SparseTensor([[1]], [1], [7]) res = tf.sparse.minimum(sp_zero, sp_one).eval() # "res" should be equal to SparseTensor([[0], [1]], [0, 0], [7]).
Args | |
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sp_a | a SparseTensor operand whose dtype is real, and indices lexicographically ordered. |
sp_b | the other SparseTensor operand with the same requirements (and the same shape). |
name | optional name of the operation. |
Returns | |
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output | the output SparseTensor. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/sparse/minimum